{"id":"W6905689854","doi":"10.15468/dl.dabn7y","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001031948,0.00179705,0.001548682,0.005694683,0.0009699668,0.002614681,0.002640721,0.001841911,0.1802413],"category_scores_gemma":[0.006293852,0.0008809046,0.001124238,0.01069859,0.0004403377,0.002282829,0.00274462,0.001876264,0.2548998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546415,"about_ca_system_score_gemma":0.002597562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226162,"about_ca_topic_score_gemma":0.03841895,"domain_scores_codex":[0.9988601,0.0001526552,0.0001481545,0.0003829459,0.0002620436,0.0001940731],"domain_scores_gemma":[0.9972944,0.0006927316,0.000260307,0.0006878265,0.000750825,0.0003139169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002828965,0.000008969917,0.0003605075,0.0005214793,0.0000139913,0.00001273965,0.00002506484,0.00009579214,0.0001206789,0.0003980234,0.9969143,0.00150016],"study_design_scores_gemma":[0.00004999743,0.000006125167,0.001627846,0.0001720473,0.00001229995,0.00002799794,0.00006248797,0.00008523426,0.0001739135,0.0006649761,0.997102,0.0000151294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003285831,0.00002305904,0.00003751041,0.00002945293,0.0000100377,0.000004610483,0.9988708,0.0002925787,0.0006990613],"genre_scores_gemma":[0.0001486157,0.00003356841,0.0001865099,0.00004646302,0.000003567514,0.00003899745,0.9988016,0.0001548156,0.0005859137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8197587,"threshold_uncertainty_score":0.6029673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}